Big Data. Big Decisions
InformationWeek
Special Coverage Series


Bank Attacker Iran Ties Questioned By Security Pros

Ideologically Based Attacks Draw Supporters

(Page 2 of 2)

According to Graham, for about $1,000 per month attackers could simply be renting the cloud-based resources required to sustain their 70 Gbps attacks. "I guess $1,000 is more than most individuals might want to pay, but it's not at the 'state sponsored' level," he said. "It's more at the level of some rich dude giving a credit card to his son telling him 'you and your friends, go have some fun.'"

What of the ideological basis of the attacks -- instead of financial gain -- which some experts have cited as evidence of state sponsorship? Regardless of whether that's true, Herberger said it means that more than one group of actors is likely now involved. "The attack is an ideological call to arms -- or cyber attack -- so it begs the question, 'were there no people who subscribed to the call, and who have conscripted themselves to the call, and actually participated in the call?'" he said. In other words, the success of the self-described Muslim hacktivists' attacks against U.S. banks has likely led to more people signing up to participate.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Is there any other potential evidence of Iranian government involvement? In November, social engineering specialist Jennifer Emick, who runs Asherah Research Group and was previously part of Backtrace Security, published an analysis of the supposed hackers involved in the attacks, based on a close reading of the social networking ties for the owner of the Hilf-ol-Fozoul blog, which has championed Operation Ababil.

"This is definitely an Iranian operation, without a doubt," said Emick. "Also, curiously, these [social networking] accounts do not appear to be hackers, and pro-Anonymous and pro hacking groups are notably absent from the genuine Facebook groups/accounts," which she read as evidence of the blog's owner and friends identifying strongly with the Iranian government.

In late November, however, the bank attackers issued a Pastebin post denying that they were sponsored by any state, and implying that the owner of the Hilf-ol-Fozoul blog is essentially just a fanboy. Furthermore, they said that the only official communications from the group have come from its Pastebin account.

Finally, what if Iran did launch the attacks; what might be done? According to Karen Greenberg, who directs the Center on National Security at Fordham Law School, "if hacking is deemed to be the work of state governments, in this case, Iran, then the crime rises to the level of international diplomacy." In other words, the State Department will sort it out. Until then, Greenberg cautioned against rushing to judgment, given the difficulty involved in tracing attacks back to their source. "Careful, skillful attribution is crucial and exceedingly difficult," she said via email.

What's required is non-repudiation, said Radware's Herberger, referring to the technical term in information security that means clearly documenting that someone did something. But with the bank attacks, he said, "it's a very technically difficult situation," and such evidence has yet to be publicly produced.

"Now if you're the U.S. government, maybe you're hearing chatter, or have other evidence that suggests this is a campaign organized by a nation state," he said. "But if so, we're not privy to that information."

« Previous Page | 1 2  


Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.